Abstract: A method of a terminal may comprise: transmitting channel state prediction-related information to a base station; receiving a channel prediction request signal for a first time instance from the base station; receiving auxiliary reference signal(s) (RS(s)) and a first RS from the base station based on the channel state prediction-related information; and transmitting channel prediction information for the first time instance to the base station, wherein the channel state prediction-related information includes information indicating that channel state information prediction of the terminal is possible, and the channel prediction request signal includes configuration information of the auxiliary RS(s) and configuration information of the first RS.

Abstract: A real-time data encryption or decryption security system using a key management server may comprise: a service interface configured to request an encryption-decryption key from the key management server according to a predetermined operation procedure in response to access to a specific file of an application program and receiving the encryption-decryption key and a first algorithm from the key management server; an access controller acquiring a file path of the specific file based on access information for the specific file, checking whether the specific file exists in an encryption directory, and performing access control of the specific file based on the first algorithm; and an encryption-decryption unit identifying whether the specific file is an encryption or decryption target file, and encrypting or decrypting the encryption or decryption target file using the encryption-decryption key.

Abstract: A method of a communication node may comprise: transmitting required network configurations for applying each of artificial neural network models to a network node; and transmitting a status report of the first model including a model identifier field and a model information field for each of the artificial neural network models to the network node to activate at least one artificial neural network model among the artificial neural network models, wherein each of the required network configurations includes a configuration identifier and network configuration information.

Abstract: A method of a terminal may comprise: receiving a channel state information (CSI) request message from a base station, the CSI request message including first indication information indicating one of quantization configuration information of a first artificial intelligence (AI) model configured in the terminal to encode and transmit CSI; quantizing generated CSI feedback information based on the first indication information; and transmitting a CSI report message including the quantized CSI feedback information to the base station.

Abstract: A method of a terminal may comprise: receiving, from a CU of a base station, configuration information of one or more candidate cells and configuration information for measurement; performing L1 measurement on the candidate cells based on the configuration information for measurement; acquiring uplink synchronization for the candidate cells by performing an uplink synchronization management procedure for the candidate cells based on the configuration information of the candidate cells; reporting a result of the L1 measurement to a DU of the base station; receiving, from the DU of the base station, information on a target cell, being the target cell to switch among the candidate cells, based on the result of the L1 measurement; and applying the uplink synchronization acquired through the uplink synchronization management procedure to the target cell.

Abstract: A method of monitoring and managing performance of an artificial neural network model for an air interface may comprise: receiving, by a network (NW) including a communication node performing a function of monitoring and managing performance of an artificial neural network model, a performance metric of the artificial neural network model from a user equipment (UE); and controlling, by the communication node, activation or deactivation of the artificial neural network model according to the performance metric, wherein the artificial neural network model is activated to improve a main performance metric of a mobile communication system including the communication node and the UE connected through an air interface.

Abstract: Various embodiments generally relate to a power distribution network and a semiconductor device, which may include: a plurality of chip pads; a first distribution layer in which a plurality of first conductive lines having rectangular shapes of different sizes, respectively, are disposed; a second distribution layer in which a plurality of second conductive lines including a central cross-shaped conductive line and L-shaped conductive lines open toward respective corners of the second distribution layer are disposed; and a redistribution layer electrically coupling chip pads to which power is applied among the plurality of chip pads and the first conductive lines of the first distribution layer.

Abstract: A method of a terminal may comprise: receiving a first message including state information of a base station from the base station; identifying preliminary inactive state information included in the first message when the state information of the base station indicates a preliminary inactive state; and performing a cell selection based on the preliminary inactive state information.

Abstract: A method of a terminal may comprise: receiving a reference signal from a base station; generating channel information based on the reference signal; generating wavelet-transformed channel information by applying wavelet transform to the channel information; generating compressed channel information by compressing the wavelet-transformed channel information; and transmitting the compressed channel information to the base station.

Abstract: There is provide a method for manufacturing analytical semiconductor samples by using an apparatus for manufacturing analytical semiconductor samples, which minimizes a feedback time by manufacturing a viewing surface that is environment-friendly and has a large area. The method comprising mounting the analytical semiconductor samples to a holder; discharging deionized (DI) water to an upper surface of a polishing plate through a DI water nozzle; grinding the analytical semiconductor samples with the upper surface of the polishing plat; determining whether a desired viewing surface of the analytical semiconductor samples has been acquired after the grinding of the analytical semiconductor samples; and transferring the analytical semiconductor samples to analyze the viewing surface of the ground analytical semiconductor samples based on a determination that the desired viewing surface of the analytical semiconductor samples has been acquired.